Accurate land surface temperature retrieval from AVHRR data with use of an improved split window algorithm

Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data

“…LST can be retrieved from a single infrared channel through an accurate radiative transfer model if surface emissivity is known and temperature/water vapor profile is given by either satellite soundings or conventional radiosonde data (Price, 1983;Susskind, Rosenfield, Reuter, & Chahine, 1984;Chedin, Scott, Wahiche, & Moulinier, 1985;Ottlé & Vidal-Madjar, 1992). Split-window LST methods require known surface emissivities to make corrections for the atmospheric and surface emissivity effects based on the differential atmospheric absorption in the 10-13 Am split window without knowledge of the atmospheric temperature/water vapor profile although column water vapor is used in some split-window LST algorithms to improve the accuracy of LST retrieval (Price, 1984;Becker, 1987;Wan & Dozier, 1989;Becker & Li, 1990;Sobrino, Coll, & Caselles, 1991;Vidal, 1991;Kerr, Lagouarde, & Imbernon, 1992;Ottlé & Stoll, 1993;Prata, 1994;Wan & Dozier, 1996). Because the accuracy of LST retrieved by single channel methods and split-window methods depends on the accuracy of surface emissivity, these methods do not work well in semi-arid and arid regions, where surface emissivity may vary significantly with location and time.…”

“…Besides, we assume the following: (1) The surface emissivity changes with vegetation coverage and surface moisture content. However, it does not significantly change in several days unless rain and/or snow occurs during the short period of time-particularly for bare soils in arid and semi-arid environments, for which the surface of the ground is normally dry (Kerr et al, 1992). 2) Atmospheric radiative transfer simulations show that in clear-sky conditions the surface-reflected diffuse solar irradiance term is much smaller than the surface-reflected solar beam term in the thermal infrared range, and the surface-reflected atmospheric downward thermal irradiance term is smaller than surface thermal emission.…”

Development of Land Surface Temperature Retrieval Algorithm from the MTSAT-2 Data

“…After Becker and LI (1990) has retrieved the LST from meteorological satellite data by using splitwindow method, number of works have been performed to retrieve the LST from the satellite data, especially polar orbit satellites (Kerr et al, 1992; Ulivieri et al, 1994; Wan and Dozier, 1996; Sobrino and Romaguera, 2004; Suh et al, 2008; Hong et al, 2009a, b). However, operational retrieval of LST from the meteorological satellite data is very limited due to the poor quality of retrieved LST, especially by using geostationary satellite data over East Asia (Hong et al, 2009a).…”

“…Corresponding Author: Myoung-Seok Suh (sms416@kongju.ac.kr) surface variables to observe regularly due to the strong spatio-temporal variations. At present, the only available cost-effective operational systems capable of observing the LST at spatial and temporal resolutions appropriate to the various applications are the satellite sensors working in the thermal infrared and/or microwaves (Becker and Li, 1995;Peres and DaCamara, 2004).After Becker and LI (1990) has retrieved the LST from meteorological satellite data by using splitwindow method, number of works have been performed to retrieve the LST from the satellite data, especially polar orbit satellites (Kerr et al, 1992; Ulivieri et al, 1994; Wan and Dozier, 1996; Sobrino and Romaguera, 2004; Suh et al, 2008; Hong et al, 2009a, b). However, operational retrieval of LST from the meteorological satellite data is very limited due to the poor quality of retrieved LST, especially by using geostationary satellite data over East Asia (Hong et al, 2009a).…”

The contribution of remote sensing to the assessment of drought effects in forest ecosystems

“…The RED and NIR channels (red, 0.58 to 0.68 µm, and near infrared, 0.72 to 1.10 µm) are used to compute vegetation indices which are correlated with green biomass and photosynthetic activity. The two thermal infrared channels (band 4, 10.3 to 11.3 µm, and band 5, 11.5 to 12.5 µm) allow the computation of a Surface Temperature corrected for atmospheric and emissivity effects [39,59,72,100]. The relation between surface-air temperature and vegetation indices can be useful for estimating water deficit (see for instance [28]).…”